Overview

Brought to you by YData

Dataset statistics

Number of variables40
Number of observations7
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory358.0 B

Variable types

Numeric32
Categorical8

Alerts

BW_kg has constant value "66.99893185365698"Constant
SideFoot_RL has constant value "R"Constant
Dominance_RL has constant value "R"Constant
Quality has constant value "5"Constant
Index_40ms has constant value "40"Constant
Index_100ms has constant value "100"Constant
Time_40ms_s has constant value "0.04"Constant
Time_100ms_s has constant value "0.1"Constant
Average_loading_rate is highly overall correlated with Imp_ITransient_BW.s and 5 other fieldsHigh correlation
Contact_Time_s is highly overall correlated with CumSum_Times_s and 15 other fieldsHigh correlation
CumSum_Times_s is highly overall correlated with Contact_Time_s and 16 other fieldsHigh correlation
High_stiffness is highly overall correlated with CumSum_Times_s and 13 other fieldsHigh correlation
Imp_100ms_BW.s is highly overall correlated with Contact_Time_s and 14 other fieldsHigh correlation
Imp_40ms_BW.s is highly overall correlated with Contact_Time_s and 16 other fieldsHigh correlation
Imp_Brake_VMax_BW.s is highly overall correlated with Imp_Propulsion_BW.s and 4 other fieldsHigh correlation
Imp_ITransient_BW.s is highly overall correlated with Average_loading_rate and 10 other fieldsHigh correlation
Imp_Propulsion_BW.s is highly overall correlated with High_stiffness and 10 other fieldsHigh correlation
Index_ITransient is highly overall correlated with Average_loading_rate and 6 other fieldsHigh correlation
Index_Max is highly overall correlated with Imp_Brake_VMax_BW.s and 3 other fieldsHigh correlation
Index_VIP is highly overall correlated with Average_loading_rate and 6 other fieldsHigh correlation
Low_stiffness is highly overall correlated with Contact_Time_s and 16 other fieldsHigh correlation
Num_Samples is highly overall correlated with Contact_Time_s and 15 other fieldsHigh correlation
Peak_VIP_BW is highly overall correlated with RFD_100ms_BW.s-1 and 4 other fieldsHigh correlation
Peak_VITransient_BW is highly overall correlated with CumSum_Times_s and 16 other fieldsHigh correlation
Peak_VMax_BW is highly overall correlated with Contact_Time_s and 4 other fieldsHigh correlation
RFD_100ms_BW.s-1 is highly overall correlated with Contact_Time_s and 18 other fieldsHigh correlation
RFD_40ms_BW.s-1 is highly overall correlated with Contact_Time_s and 17 other fieldsHigh correlation
RFD_Brake_VMax_BW.s-1 is highly overall correlated with Contact_Time_s and 9 other fieldsHigh correlation
RFD_ITransient_BW.s-1 is highly overall correlated with Average_loading_rate and 11 other fieldsHigh correlation
RFD_Propulsion_BW.s-1 is highly overall correlated with Contact_Time_s and 17 other fieldsHigh correlation
Simple_stiffness_constant is highly overall correlated with Peak_VIP_BW and 4 other fieldsHigh correlation
Test_Duration_s is highly overall correlated with Contact_Time_s and 16 other fieldsHigh correlation
Time_ITransient_s is highly overall correlated with Average_loading_rate and 6 other fieldsHigh correlation
Time_Peak_VMax_s is highly overall correlated with Imp_Brake_VMax_BW.s and 3 other fieldsHigh correlation
Time_VIP_s is highly overall correlated with Average_loading_rate and 6 other fieldsHigh correlation
Total_Imp_BW.s is highly overall correlated with Contact_Time_s and 8 other fieldsHigh correlation
Transition_time is highly overall correlated with Contact_Time_s and 15 other fieldsHigh correlation
Trial is highly overall correlated with Contact_Time_s and 16 other fieldsHigh correlation
VPeak_100ms_BW is highly overall correlated with Contact_Time_s and 18 other fieldsHigh correlation
VPeak_40ms_BW is highly overall correlated with Contact_Time_s and 17 other fieldsHigh correlation
Trial has unique valuesUnique
Num_Samples has unique valuesUnique
Index_ITransient has unique valuesUnique
Index_VIP has unique valuesUnique
Test_Duration_s has unique valuesUnique
CumSum_Times_s has unique valuesUnique
Contact_Time_s has unique valuesUnique
Time_ITransient_s has unique valuesUnique
Time_VIP_s has unique valuesUnique
VPeak_40ms_BW has unique valuesUnique
VPeak_100ms_BW has unique valuesUnique
Peak_VITransient_BW has unique valuesUnique
Peak_VIP_BW has unique valuesUnique
Peak_VMax_BW has unique valuesUnique
Total_Imp_BW.s has unique valuesUnique
Imp_40ms_BW.s has unique valuesUnique
Imp_100ms_BW.s has unique valuesUnique
Imp_ITransient_BW.s has unique valuesUnique
Imp_Brake_VMax_BW.s has unique valuesUnique
Imp_Propulsion_BW.s has unique valuesUnique
RFD_40ms_BW.s-1 has unique valuesUnique
RFD_100ms_BW.s-1 has unique valuesUnique
RFD_ITransient_BW.s-1 has unique valuesUnique
RFD_Brake_VMax_BW.s-1 has unique valuesUnique
RFD_Propulsion_BW.s-1 has unique valuesUnique
Simple_stiffness_constant has unique valuesUnique
High_stiffness has unique valuesUnique
Low_stiffness has unique valuesUnique
Transition_time has unique valuesUnique
Average_loading_rate has unique valuesUnique

Reproduction

Analysis started2024-10-23 10:21:53.054565
Analysis finished2024-10-23 10:23:24.098101
Duration1 minute and 31.04 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Trial
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:24.201435image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q12.5
median4
Q35.5
95-th percentile6.7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1602469
Coefficient of variation (CV)0.54006172
Kurtosis-1.2
Mean4
Median Absolute Deviation (MAD)2
Skewness0
Sum28
Variance4.6666667
MonotonicityStrictly increasing
2024-10-23T07:23:24.324824image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1
14.3%
2 1
14.3%
3 1
14.3%
4 1
14.3%
5 1
14.3%
6 1
14.3%
7 1
14.3%
ValueCountFrequency (%)
1 1
14.3%
2 1
14.3%
3 1
14.3%
4 1
14.3%
5 1
14.3%
6 1
14.3%
7 1
14.3%
ValueCountFrequency (%)
7 1
14.3%
6 1
14.3%
5 1
14.3%
4 1
14.3%
3 1
14.3%
2 1
14.3%
1 1
14.3%

BW_kg
Categorical

CONSTANT 

Distinct1
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size188.0 B
66.99893185365698

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters119
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row66.99893185365698
2nd row66.99893185365698
3rd row66.99893185365698
4th row66.99893185365698
5th row66.99893185365698

Common Values

ValueCountFrequency (%)
66.99893185365698 7
100.0%

Length

2024-10-23T07:23:24.452774image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-23T07:23:24.593863image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
66.99893185365698 7
100.0%

Most occurring characters

ValueCountFrequency (%)
6 28
23.5%
9 28
23.5%
8 21
17.6%
3 14
11.8%
5 14
11.8%
. 7
 
5.9%
1 7
 
5.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 119
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6 28
23.5%
9 28
23.5%
8 21
17.6%
3 14
11.8%
5 14
11.8%
. 7
 
5.9%
1 7
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 119
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6 28
23.5%
9 28
23.5%
8 21
17.6%
3 14
11.8%
5 14
11.8%
. 7
 
5.9%
1 7
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 119
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6 28
23.5%
9 28
23.5%
8 21
17.6%
3 14
11.8%
5 14
11.8%
. 7
 
5.9%
1 7
 
5.9%

SideFoot_RL
Categorical

CONSTANT 

Distinct1
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size255.0 B
R

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowR
2nd rowR
3rd rowR
4th rowR
5th rowR

Common Values

ValueCountFrequency (%)
R 7
100.0%

Length

2024-10-23T07:23:24.714466image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-23T07:23:26.599903image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
r 7
100.0%

Most occurring characters

ValueCountFrequency (%)
R 7
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
R 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
R 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
R 7
100.0%

Dominance_RL
Categorical

CONSTANT 

Distinct1
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size255.0 B
R

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowR
2nd rowR
3rd rowR
4th rowR
5th rowR

Common Values

ValueCountFrequency (%)
R 7
100.0%

Length

2024-10-23T07:23:26.726675image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-23T07:23:26.836146image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
r 7
100.0%

Most occurring characters

ValueCountFrequency (%)
R 7
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
R 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
R 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
R 7
100.0%

Quality
Categorical

CONSTANT 

Distinct1
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size188.0 B
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 7
100.0%

Length

2024-10-23T07:23:26.954492image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-23T07:23:27.063389image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
5 7
100.0%

Most occurring characters

ValueCountFrequency (%)
5 7
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5 7
100.0%

Num_Samples
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean405.85714
Minimum311
Maximum616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:27.167002image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum311
5-th percentile320.9
Q1346.5
median387
Q3417
95-th percentile564.7
Maximum616
Range305
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation101.97128
Coefficient of variation (CV)0.2512492
Kurtosis3.4856965
Mean405.85714
Median Absolute Deviation (MAD)43
Skewness1.7724571
Sum2841
Variance10398.143
MonotonicityNot monotonic
2024-10-23T07:23:27.291936image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
445 1
14.3%
616 1
14.3%
387 1
14.3%
344 1
14.3%
389 1
14.3%
349 1
14.3%
311 1
14.3%
ValueCountFrequency (%)
311 1
14.3%
344 1
14.3%
349 1
14.3%
387 1
14.3%
389 1
14.3%
445 1
14.3%
616 1
14.3%
ValueCountFrequency (%)
616 1
14.3%
445 1
14.3%
389 1
14.3%
387 1
14.3%
349 1
14.3%
344 1
14.3%
311 1
14.3%

Index_40ms
Categorical

CONSTANT 

Distinct1
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size188.0 B
40

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters14
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40
2nd row40
3rd row40
4th row40
5th row40

Common Values

ValueCountFrequency (%)
40 7
100.0%

Length

2024-10-23T07:23:27.422116image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-23T07:23:27.530879image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
40 7
100.0%

Most occurring characters

ValueCountFrequency (%)
4 7
50.0%
0 7
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 14
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4 7
50.0%
0 7
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 14
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4 7
50.0%
0 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 14
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4 7
50.0%
0 7
50.0%

Index_100ms
Categorical

CONSTANT 

Distinct1
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size188.0 B
100

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters21
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 7
100.0%

Length

2024-10-23T07:23:27.649964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-23T07:23:27.758204image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
100 7
100.0%

Most occurring characters

ValueCountFrequency (%)
0 14
66.7%
1 7
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 21
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 14
66.7%
1 7
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 21
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 14
66.7%
1 7
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 21
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 14
66.7%
1 7
33.3%

Index_ITransient
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.571429
Minimum62
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:27.861100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum62
5-th percentile62.3
Q167.5
median84
Q394.5
95-th percentile124.9
Maximum136
Range74
Interquartile range (IQR)27

Descriptive statistics

Standard deviation25.780207
Coefficient of variation (CV)0.29779116
Kurtosis1.6905612
Mean86.571429
Median Absolute Deviation (MAD)15
Skewness1.2485189
Sum606
Variance664.61905
MonotonicityNot monotonic
2024-10-23T07:23:27.990540image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
136 1
14.3%
63 1
14.3%
72 1
14.3%
62 1
14.3%
84 1
14.3%
99 1
14.3%
90 1
14.3%
ValueCountFrequency (%)
62 1
14.3%
63 1
14.3%
72 1
14.3%
84 1
14.3%
90 1
14.3%
99 1
14.3%
136 1
14.3%
ValueCountFrequency (%)
136 1
14.3%
99 1
14.3%
90 1
14.3%
84 1
14.3%
72 1
14.3%
63 1
14.3%
62 1
14.3%

Index_VIP
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.14286
Minimum77
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:28.107305image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum77
5-th percentile77.6
Q184.5
median105
Q3118
95-th percentile156.2
Maximum170
Range93
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation32.277074
Coefficient of variation (CV)0.298467
Kurtosis1.6834082
Mean108.14286
Median Absolute Deviation (MAD)19
Skewness1.2474169
Sum757
Variance1041.8095
MonotonicityNot monotonic
2024-10-23T07:23:28.229373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
170 1
14.3%
79 1
14.3%
90 1
14.3%
77 1
14.3%
105 1
14.3%
124 1
14.3%
112 1
14.3%
ValueCountFrequency (%)
77 1
14.3%
79 1
14.3%
90 1
14.3%
105 1
14.3%
112 1
14.3%
124 1
14.3%
170 1
14.3%
ValueCountFrequency (%)
170 1
14.3%
124 1
14.3%
112 1
14.3%
105 1
14.3%
90 1
14.3%
79 1
14.3%
77 1
14.3%

Index_Max
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.14286
Minimum124
Maximum265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:28.337056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum124
5-th percentile127.3
Q1139
median170
Q3177
95-th percentile238.6
Maximum265
Range141
Interquartile range (IQR)38

Descriptive statistics

Standard deviation46.891465
Coefficient of variation (CV)0.27560055
Kurtosis3.0523032
Mean170.14286
Median Absolute Deviation (MAD)27
Skewness1.5671957
Sum1191
Variance2198.8095
MonotonicityNot monotonic
2024-10-23T07:23:28.463595image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
177 2
28.6%
170 1
14.3%
143 1
14.3%
265 1
14.3%
124 1
14.3%
135 1
14.3%
ValueCountFrequency (%)
124 1
14.3%
135 1
14.3%
143 1
14.3%
170 1
14.3%
177 2
28.6%
265 1
14.3%
ValueCountFrequency (%)
265 1
14.3%
177 2
28.6%
170 1
14.3%
143 1
14.3%
135 1
14.3%
124 1
14.3%

Test_Duration_s
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0875714
Minimum0.444
Maximum7.655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:28.578184image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.444
5-th percentile0.8361
Q12.306
median3.995
Q35.9535
95-th percentile7.3172
Maximum7.655
Range7.211
Interquartile range (IQR)3.6475

Descriptive statistics

Standard deviation2.6012994
Coefficient of variation (CV)0.6363924
Kurtosis-1.235901
Mean4.0875714
Median Absolute Deviation (MAD)2.244
Skewness-0.011549271
Sum28.613
Variance6.7667586
MonotonicityStrictly increasing
2024-10-23T07:23:28.705126image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.444 1
14.3%
1.751 1
14.3%
2.861 1
14.3%
3.995 1
14.3%
5.378 1
14.3%
6.529 1
14.3%
7.655 1
14.3%
ValueCountFrequency (%)
0.444 1
14.3%
1.751 1
14.3%
2.861 1
14.3%
3.995 1
14.3%
5.378 1
14.3%
6.529 1
14.3%
7.655 1
14.3%
ValueCountFrequency (%)
7.655 1
14.3%
6.529 1
14.3%
5.378 1
14.3%
3.995 1
14.3%
2.861 1
14.3%
1.751 1
14.3%
0.444 1
14.3%

CumSum_Times_s
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7528571
Minimum0.444
Maximum2.834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:28.819481image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.444
5-th percentile0.6285
Q11.252
median1.788
Q32.35
95-th percentile2.741
Maximum2.834
Range2.39
Interquartile range (IQR)1.098

Descriptive statistics

Standard deviation0.83995405
Coefficient of variation (CV)0.47919139
Kurtosis-0.7803829
Mean1.7528571
Median Absolute Deviation (MAD)0.729
Skewness-0.31788554
Sum12.27
Variance0.70552281
MonotonicityStrictly increasing
2024-10-23T07:23:28.938542image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.444 1
14.3%
1.059 1
14.3%
1.445 1
14.3%
1.788 1
14.3%
2.176 1
14.3%
2.524 1
14.3%
2.834 1
14.3%
ValueCountFrequency (%)
0.444 1
14.3%
1.059 1
14.3%
1.445 1
14.3%
1.788 1
14.3%
2.176 1
14.3%
2.524 1
14.3%
2.834 1
14.3%
ValueCountFrequency (%)
2.834 1
14.3%
2.524 1
14.3%
2.176 1
14.3%
1.788 1
14.3%
1.445 1
14.3%
1.059 1
14.3%
0.444 1
14.3%

Contact_Time_s
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.40485714
Minimum0.31
Maximum0.615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:29.048200image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.31
5-th percentile0.3199
Q10.3455
median0.386
Q30.416
95-th percentile0.5637
Maximum0.615
Range0.305
Interquartile range (IQR)0.0705

Descriptive statistics

Standard deviation0.10197128
Coefficient of variation (CV)0.25186979
Kurtosis3.4856965
Mean0.40485714
Median Absolute Deviation (MAD)0.043
Skewness1.7724571
Sum2.834
Variance0.010398143
MonotonicityNot monotonic
2024-10-23T07:23:29.175103image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.444 1
14.3%
0.615 1
14.3%
0.386 1
14.3%
0.343 1
14.3%
0.388 1
14.3%
0.348 1
14.3%
0.31 1
14.3%
ValueCountFrequency (%)
0.31 1
14.3%
0.343 1
14.3%
0.348 1
14.3%
0.386 1
14.3%
0.388 1
14.3%
0.444 1
14.3%
0.615 1
14.3%
ValueCountFrequency (%)
0.615 1
14.3%
0.444 1
14.3%
0.388 1
14.3%
0.386 1
14.3%
0.348 1
14.3%
0.343 1
14.3%
0.31 1
14.3%

Time_40ms_s
Categorical

CONSTANT 

Distinct1
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size188.0 B
0.04

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters28
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.04
2nd row0.04
3rd row0.04
4th row0.04
5th row0.04

Common Values

ValueCountFrequency (%)
0.04 7
100.0%

Length

2024-10-23T07:23:29.307156image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-23T07:23:29.416325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.04 7
100.0%

Most occurring characters

ValueCountFrequency (%)
0 14
50.0%
. 7
25.0%
4 7
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 28
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 14
50.0%
. 7
25.0%
4 7
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 28
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 14
50.0%
. 7
25.0%
4 7
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 28
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 14
50.0%
. 7
25.0%
4 7
25.0%

Time_100ms_s
Categorical

CONSTANT 

Distinct1
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size188.0 B
0.1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters21
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.1
2nd row0.1
3rd row0.1
4th row0.1
5th row0.1

Common Values

ValueCountFrequency (%)
0.1 7
100.0%

Length

2024-10-23T07:23:29.536384image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-10-23T07:23:29.645421image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0.1 7
100.0%

Most occurring characters

ValueCountFrequency (%)
0 7
33.3%
. 7
33.3%
1 7
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 21
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 7
33.3%
. 7
33.3%
1 7
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 21
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 7
33.3%
. 7
33.3%
1 7
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 21
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 7
33.3%
. 7
33.3%
1 7
33.3%

Time_ITransient_s
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.085571429
Minimum0.061
Maximum0.135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:29.749754image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.061
5-th percentile0.0613
Q10.0665
median0.083
Q30.0935
95-th percentile0.1239
Maximum0.135
Range0.074
Interquartile range (IQR)0.027

Descriptive statistics

Standard deviation0.025780207
Coefficient of variation (CV)0.30127119
Kurtosis1.6905612
Mean0.085571429
Median Absolute Deviation (MAD)0.015
Skewness1.2485189
Sum0.599
Variance0.00066461905
MonotonicityNot monotonic
2024-10-23T07:23:29.879868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.135 1
14.3%
0.062 1
14.3%
0.071 1
14.3%
0.061 1
14.3%
0.083 1
14.3%
0.098 1
14.3%
0.089 1
14.3%
ValueCountFrequency (%)
0.061 1
14.3%
0.062 1
14.3%
0.071 1
14.3%
0.083 1
14.3%
0.089 1
14.3%
0.098 1
14.3%
0.135 1
14.3%
ValueCountFrequency (%)
0.135 1
14.3%
0.098 1
14.3%
0.089 1
14.3%
0.083 1
14.3%
0.071 1
14.3%
0.062 1
14.3%
0.061 1
14.3%

Time_VIP_s
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10814286
Minimum0.077
Maximum0.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:29.998541image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.077
5-th percentile0.0776
Q10.0845
median0.105
Q30.118
95-th percentile0.1562
Maximum0.17
Range0.093
Interquartile range (IQR)0.0335

Descriptive statistics

Standard deviation0.032277074
Coefficient of variation (CV)0.298467
Kurtosis1.6834082
Mean0.10814286
Median Absolute Deviation (MAD)0.019
Skewness1.2474169
Sum0.757
Variance0.0010418095
MonotonicityNot monotonic
2024-10-23T07:23:30.120791image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.17 1
14.3%
0.079 1
14.3%
0.09 1
14.3%
0.077 1
14.3%
0.105 1
14.3%
0.124 1
14.3%
0.112 1
14.3%
ValueCountFrequency (%)
0.077 1
14.3%
0.079 1
14.3%
0.09 1
14.3%
0.105 1
14.3%
0.112 1
14.3%
0.124 1
14.3%
0.17 1
14.3%
ValueCountFrequency (%)
0.17 1
14.3%
0.124 1
14.3%
0.112 1
14.3%
0.105 1
14.3%
0.09 1
14.3%
0.079 1
14.3%
0.077 1
14.3%

Time_Peak_VMax_s
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17014286
Minimum0.124
Maximum0.265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:30.229107image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.124
5-th percentile0.1273
Q10.139
median0.17
Q30.177
95-th percentile0.2386
Maximum0.265
Range0.141
Interquartile range (IQR)0.038

Descriptive statistics

Standard deviation0.046891465
Coefficient of variation (CV)0.27560055
Kurtosis3.0523032
Mean0.17014286
Median Absolute Deviation (MAD)0.027
Skewness1.5671957
Sum1.191
Variance0.0021988095
MonotonicityNot monotonic
2024-10-23T07:23:30.357471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.177 2
28.6%
0.17 1
14.3%
0.143 1
14.3%
0.265 1
14.3%
0.124 1
14.3%
0.135 1
14.3%
ValueCountFrequency (%)
0.124 1
14.3%
0.135 1
14.3%
0.143 1
14.3%
0.17 1
14.3%
0.177 2
28.6%
0.265 1
14.3%
ValueCountFrequency (%)
0.265 1
14.3%
0.177 2
28.6%
0.17 1
14.3%
0.143 1
14.3%
0.135 1
14.3%
0.124 1
14.3%

VPeak_40ms_BW
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1282504
Minimum0.61862275
Maximum2.2397492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:30.470800image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.61862275
5-th percentile0.63064404
Q10.68099379
median0.74070488
Q31.4683442
95-th percentile2.0606769
Maximum2.2397492
Range1.6211264
Interquartile range (IQR)0.78735036

Descriptive statistics

Standard deviation0.62431818
Coefficient of variation (CV)0.55335074
Kurtosis0.032034488
Mean1.1282504
Median Absolute Deviation (MAD)0.12208213
Skewness1.0961272
Sum7.8977527
Variance0.38977319
MonotonicityNot monotonic
2024-10-23T07:23:30.599220image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.7032938763 1
14.3%
0.6186227495 1
14.3%
0.658693705 1
14.3%
0.7407048769 1
14.3%
1.642841489 1
14.3%
1.293846819 1
14.3%
2.239749198 1
14.3%
ValueCountFrequency (%)
0.6186227495 1
14.3%
0.658693705 1
14.3%
0.7032938763 1
14.3%
0.7407048769 1
14.3%
1.293846819 1
14.3%
1.642841489 1
14.3%
2.239749198 1
14.3%
ValueCountFrequency (%)
2.239749198 1
14.3%
1.642841489 1
14.3%
1.293846819 1
14.3%
0.7407048769 1
14.3%
0.7032938763 1
14.3%
0.658693705 1
14.3%
0.6186227495 1
14.3%

VPeak_100ms_BW
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1777888
Minimum1.7245686
Maximum2.5210227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:30.715366image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.7245686
5-th percentile1.7998508
Q11.9962149
median2.0967354
Q32.4548824
95-th percentile2.5013696
Maximum2.5210227
Range0.79645418
Interquartile range (IQR)0.45866744

Descriptive statistics

Standard deviation0.30280518
Coefficient of variation (CV)0.13904249
Kurtosis-1.5005921
Mean2.1777888
Median Absolute Deviation (MAD)0.35751694
Skewness-0.19396146
Sum15.244521
Variance0.091690974
MonotonicityNot monotonic
2024-10-23T07:23:30.848671image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2.016920525 1
14.3%
1.724568566 1
14.3%
2.454252354 1
14.3%
1.975509351 1
14.3%
2.455512396 1
14.3%
2.096735411 1
14.3%
2.52102275 1
14.3%
ValueCountFrequency (%)
1.724568566 1
14.3%
1.975509351 1
14.3%
2.016920525 1
14.3%
2.096735411 1
14.3%
2.454252354 1
14.3%
2.455512396 1
14.3%
2.52102275 1
14.3%
ValueCountFrequency (%)
2.52102275 1
14.3%
2.455512396 1
14.3%
2.454252354 1
14.3%
2.096735411 1
14.3%
2.016920525 1
14.3%
1.975509351 1
14.3%
1.724568566 1
14.3%

Peak_VITransient_BW
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0067567
Minimum1.6555331
Maximum2.461539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:30.965550image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.6555331
5-th percentile1.6963578
Q11.8088744
median1.8758988
Q32.2182887
95-th percentile2.4283818
Maximum2.461539
Range0.80600581
Interquartile range (IQR)0.40941433

Descriptive statistics

Standard deviation0.30302462
Coefficient of variation (CV)0.15100217
Kurtosis-1.216938
Mean2.0067567
Median Absolute Deviation (MAD)0.20966334
Skewness0.61997885
Sum14.047297
Variance0.09182392
MonotonicityNot monotonic
2024-10-23T07:23:31.098557image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1.875898772 1
14.3%
1.826133379 1
14.3%
1.791615332 1
14.3%
1.655533142 1
14.3%
2.351015255 1
14.3%
2.085562109 1
14.3%
2.461538951 1
14.3%
ValueCountFrequency (%)
1.655533142 1
14.3%
1.791615332 1
14.3%
1.826133379 1
14.3%
1.875898772 1
14.3%
2.085562109 1
14.3%
2.351015255 1
14.3%
2.461538951 1
14.3%
ValueCountFrequency (%)
2.461538951 1
14.3%
2.351015255 1
14.3%
2.085562109 1
14.3%
1.875898772 1
14.3%
1.826133379 1
14.3%
1.791615332 1
14.3%
1.655533142 1
14.3%

Peak_VIP_BW
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4009298
Minimum2.1176857
Maximum2.7007324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:31.213686image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.1176857
5-th percentile2.1575451
Q12.2583557
median2.4664909
Q32.5024442
95-th percentile2.6508568
Maximum2.7007324
Range0.58304667
Interquartile range (IQR)0.24408844

Descriptive statistics

Standard deviation0.19910075
Coefficient of variation (CV)0.082926516
Kurtosis-0.73271079
Mean2.4009298
Median Absolute Deviation (MAD)0.20032987
Skewness0.040607496
Sum16.806509
Variance0.039641107
MonotonicityNot monotonic
2024-10-23T07:23:31.337920image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2.117685694 1
14.3%
2.466490949 1
14.3%
2.70073236 1
14.3%
2.266161078 1
14.3%
2.470407756 1
14.3%
2.250550349 1
14.3%
2.53448056 1
14.3%
ValueCountFrequency (%)
2.117685694 1
14.3%
2.250550349 1
14.3%
2.266161078 1
14.3%
2.466490949 1
14.3%
2.470407756 1
14.3%
2.53448056 1
14.3%
2.70073236 1
14.3%
ValueCountFrequency (%)
2.70073236 1
14.3%
2.53448056 1
14.3%
2.470407756 1
14.3%
2.466490949 1
14.3%
2.266161078 1
14.3%
2.250550349 1
14.3%
2.117685694 1
14.3%

Peak_VMax_BW
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2105593
Minimum1.911403
Maximum2.4984159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:31.449779image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.911403
5-th percentile1.956523
Q12.0897443
median2.2505503
Q32.3170287
95-th percentile2.459845
Maximum2.4984159
Range0.5870129
Interquartile range (IQR)0.2272844

Descriptive statistics

Standard deviation0.19704484
Coefficient of variation (CV)0.089138001
Kurtosis-0.41793878
Mean2.2105593
Median Absolute Deviation (MAD)0.13286466
Skewness-0.083981398
Sum15.473915
Variance0.038826669
MonotonicityNot monotonic
2024-10-23T07:23:31.573141image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2.117685694 1
14.3%
2.061802889 1
14.3%
2.264211214 1
14.3%
2.369846174 1
14.3%
1.911403011 1
14.3%
2.250550349 1
14.3%
2.498415914 1
14.3%
ValueCountFrequency (%)
1.911403011 1
14.3%
2.061802889 1
14.3%
2.117685694 1
14.3%
2.250550349 1
14.3%
2.264211214 1
14.3%
2.369846174 1
14.3%
2.498415914 1
14.3%
ValueCountFrequency (%)
2.498415914 1
14.3%
2.369846174 1
14.3%
2.264211214 1
14.3%
2.250550349 1
14.3%
2.117685694 1
14.3%
2.061802889 1
14.3%
1.911403011 1
14.3%

Total_Imp_BW.s
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.59060934
Minimum0.51504928
Maximum0.76681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:31.686329image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.51504928
5-th percentile0.51842895
Q10.53801692
median0.54987303
Q30.61324961
95-th percentile0.72696083
Maximum0.76681
Range0.25176072
Interquartile range (IQR)0.075232693

Descriptive statistics

Standard deviation0.087660194
Coefficient of variation (CV)0.14842331
Kurtosis2.6822382
Mean0.59060934
Median Absolute Deviation (MAD)0.034823753
Skewness1.6345896
Sum4.1342654
Variance0.0076843097
MonotonicityNot monotonic
2024-10-23T07:23:31.806836image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.5925197885 1
14.3%
0.7668099985 1
14.3%
0.5497189848 1
14.3%
0.5263148567 1
14.3%
0.6339794387 1
14.3%
0.5498730345 1
14.3%
0.515049281 1
14.3%
ValueCountFrequency (%)
0.515049281 1
14.3%
0.5263148567 1
14.3%
0.5497189848 1
14.3%
0.5498730345 1
14.3%
0.5925197885 1
14.3%
0.6339794387 1
14.3%
0.7668099985 1
14.3%
ValueCountFrequency (%)
0.7668099985 1
14.3%
0.6339794387 1
14.3%
0.5925197885 1
14.3%
0.5498730345 1
14.3%
0.5497189848 1
14.3%
0.5263148567 1
14.3%
0.515049281 1
14.3%

Imp_40ms_BW.s
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.019257326
Minimum0.011819453
Maximum0.030486005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:31.917513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.011819453
5-th percentile0.011976553
Q10.012436705
median0.015364613
Q30.026128903
95-th percentile0.029900063
Maximum0.030486005
Range0.018666552
Interquartile range (IQR)0.013692197

Descriptive statistics

Standard deviation0.0081200663
Coefficient of variation (CV)0.42166114
Kurtosis-2.0379609
Mean0.019257326
Median Absolute Deviation (MAD)0.0035451599
Skewness0.52189239
Sum0.13480129
Variance6.5935476 × 10-5
MonotonicityNot monotonic
2024-10-23T07:23:32.049130image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.01234312072 1
14.3%
0.01181945281 1
14.3%
0.01536461271 1
14.3%
0.0125302896 1
14.3%
0.02853286584 1
14.3%
0.02372493928 1
14.3%
0.03048600453 1
14.3%
ValueCountFrequency (%)
0.01181945281 1
14.3%
0.01234312072 1
14.3%
0.0125302896 1
14.3%
0.01536461271 1
14.3%
0.02372493928 1
14.3%
0.02853286584 1
14.3%
0.03048600453 1
14.3%
ValueCountFrequency (%)
0.03048600453 1
14.3%
0.02853286584 1
14.3%
0.02372493928 1
14.3%
0.01536461271 1
14.3%
0.0125302896 1
14.3%
0.01234312072 1
14.3%
0.01181945281 1
14.3%

Imp_100ms_BW.s
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12855431
Minimum0.096696759
Maximum0.16972474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:32.166122image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.096696759
5-th percentile0.10189651
Q10.11420486
median0.11524764
Q30.14490067
95-th percentile0.16739182
Maximum0.16972474
Range0.073027977
Interquartile range (IQR)0.030695812

Descriptive statistics

Standard deviation0.027124727
Coefficient of variation (CV)0.21099819
Kurtosis-0.86300071
Mean0.12855431
Median Absolute Deviation (MAD)0.012605342
Skewness0.77660297
Sum0.89988018
Variance0.00073575079
MonotonicityNot monotonic
2024-10-23T07:23:32.298111image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0966967586 1
14.3%
0.114380434 1
14.3%
0.1140292785 1
14.3%
0.1152476365 1
14.3%
0.1619483586 1
14.3%
0.1278529781 1
14.3%
0.1697247357 1
14.3%
ValueCountFrequency (%)
0.0966967586 1
14.3%
0.1140292785 1
14.3%
0.114380434 1
14.3%
0.1152476365 1
14.3%
0.1278529781 1
14.3%
0.1619483586 1
14.3%
0.1697247357 1
14.3%
ValueCountFrequency (%)
0.1697247357 1
14.3%
0.1619483586 1
14.3%
0.1278529781 1
14.3%
0.1152476365 1
14.3%
0.114380434 1
14.3%
0.1140292785 1
14.3%
0.0966967586 1
14.3%

Imp_ITransient_BW.s
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.096238434
Minimum0.032975773
Maximum0.16493984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:32.415501image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.032975773
5-th percentile0.033850618
Q10.040778669
median0.12360095
Q30.13529757
95-th percentile0.1589046
Maximum0.16493984
Range0.13196406
Interquartile range (IQR)0.094518902

Descriptive statistics

Standard deviation0.056128962
Coefficient of variation (CV)0.58322813
Kurtosis-2.3442917
Mean0.096238434
Median Absolute Deviation (MAD)0.04133889
Skewness-0.15452879
Sum0.67366904
Variance0.0031504603
MonotonicityNot monotonic
2024-10-23T07:23:32.545444image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.164939837 1
14.3%
0.032975773 1
14.3%
0.04566541363 1
14.3%
0.03589192342 1
14.3%
0.1236009474 1
14.3%
0.1257727653 1
14.3%
0.1448223754 1
14.3%
ValueCountFrequency (%)
0.032975773 1
14.3%
0.03589192342 1
14.3%
0.04566541363 1
14.3%
0.1236009474 1
14.3%
0.1257727653 1
14.3%
0.1448223754 1
14.3%
0.164939837 1
14.3%
ValueCountFrequency (%)
0.164939837 1
14.3%
0.1448223754 1
14.3%
0.1257727653 1
14.3%
0.1236009474 1
14.3%
0.04566541363 1
14.3%
0.03589192342 1
14.3%
0.032975773 1
14.3%

Imp_Brake_VMax_BW.s
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27094119
Minimum0.18049707
Maximum0.47802363
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:32.657800image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.18049707
5-th percentile0.184152
Q10.21324073
median0.25793142
Q30.27682737
95-th percentile0.41956607
Maximum0.47802363
Range0.29752656
Interquartile range (IQR)0.063586634

Descriptive statistics

Standard deviation0.099067583
Coefficient of variation (CV)0.36564239
Kurtosis4.0249077
Mean0.27094119
Median Absolute Deviation (MAD)0.02523369
Skewness1.8261724
Sum1.8965883
Variance0.0098143861
MonotonicityNot monotonic
2024-10-23T07:23:32.779409image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.233801279 1
14.3%
0.1926801875 1
14.3%
0.2704896302 1
14.3%
0.283165105 1
14.3%
0.4780236312 1
14.3%
0.1804970675 1
14.3%
0.2579314152 1
14.3%
ValueCountFrequency (%)
0.1804970675 1
14.3%
0.1926801875 1
14.3%
0.233801279 1
14.3%
0.2579314152 1
14.3%
0.2704896302 1
14.3%
0.283165105 1
14.3%
0.4780236312 1
14.3%
ValueCountFrequency (%)
0.4780236312 1
14.3%
0.283165105 1
14.3%
0.2704896302 1
14.3%
0.2579314152 1
14.3%
0.233801279 1
14.3%
0.1926801875 1
14.3%
0.1804970675 1
14.3%

Imp_Propulsion_BW.s
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31745771
Minimum0.15404443
Maximum0.57206853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:32.892502image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.15404443
5-th percentile0.18006508
Q10.2476997
median0.27696524
Q30.36186319
95-th percentile0.51058563
Maximum0.57206853
Range0.4180241
Interquartile range (IQR)0.11416349

Descriptive statistics

Standard deviation0.13353989
Coefficient of variation (CV)0.42065411
Kurtosis1.903308
Mean0.31745771
Median Absolute Deviation (MAD)0.079635611
Skewness1.1325628
Sum2.222204
Variance0.017832902
MonotonicityNot monotonic
2024-10-23T07:23:33.008507image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.3566008476 1
14.3%
0.57206853 1
14.3%
0.276965237 1
14.3%
0.24077994 1
14.3%
0.1540444323 1
14.3%
0.3671255394 1
14.3%
0.2546194607 1
14.3%
ValueCountFrequency (%)
0.1540444323 1
14.3%
0.24077994 1
14.3%
0.2546194607 1
14.3%
0.276965237 1
14.3%
0.3566008476 1
14.3%
0.3671255394 1
14.3%
0.57206853 1
14.3%
ValueCountFrequency (%)
0.57206853 1
14.3%
0.3671255394 1
14.3%
0.3566008476 1
14.3%
0.276965237 1
14.3%
0.2546194607 1
14.3%
0.24077994 1
14.3%
0.1540444323 1
14.3%

RFD_40ms_BW.s-1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.20626
Minimum15.465569
Maximum55.99373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:33.118874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum15.465569
5-th percentile15.766101
Q117.024845
median18.517622
Q336.708604
95-th percentile51.516922
Maximum55.99373
Range40.528161
Interquartile range (IQR)19.683759

Descriptive statistics

Standard deviation15.607955
Coefficient of variation (CV)0.55335074
Kurtosis0.032034488
Mean28.20626
Median Absolute Deviation (MAD)3.0520532
Skewness1.0961272
Sum197.44382
Variance243.60825
MonotonicityNot monotonic
2024-10-23T07:23:33.249521image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
17.58234691 1
14.3%
15.46556874 1
14.3%
16.46734262 1
14.3%
18.51762192 1
14.3%
41.07103722 1
14.3%
32.34617047 1
14.3%
55.99372995 1
14.3%
ValueCountFrequency (%)
15.46556874 1
14.3%
16.46734262 1
14.3%
17.58234691 1
14.3%
18.51762192 1
14.3%
32.34617047 1
14.3%
41.07103722 1
14.3%
55.99372995 1
14.3%
ValueCountFrequency (%)
55.99372995 1
14.3%
41.07103722 1
14.3%
32.34617047 1
14.3%
18.51762192 1
14.3%
17.58234691 1
14.3%
16.46734262 1
14.3%
15.46556874 1
14.3%

RFD_100ms_BW.s-1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.777888
Minimum17.245686
Maximum25.210227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:33.366358image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum17.245686
5-th percentile17.998508
Q119.962149
median20.967354
Q324.548824
95-th percentile25.013696
Maximum25.210227
Range7.9645418
Interquartile range (IQR)4.5866744

Descriptive statistics

Standard deviation3.0280518
Coefficient of variation (CV)0.13904249
Kurtosis-1.5005921
Mean21.777888
Median Absolute Deviation (MAD)3.5751694
Skewness-0.19396146
Sum152.44521
Variance9.1690974
MonotonicityNot monotonic
2024-10-23T07:23:33.499801image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20.16920525 1
14.3%
17.24568566 1
14.3%
24.54252354 1
14.3%
19.75509351 1
14.3%
24.55512396 1
14.3%
20.96735411 1
14.3%
25.2102275 1
14.3%
ValueCountFrequency (%)
17.24568566 1
14.3%
19.75509351 1
14.3%
20.16920525 1
14.3%
20.96735411 1
14.3%
24.54252354 1
14.3%
24.55512396 1
14.3%
25.2102275 1
14.3%
ValueCountFrequency (%)
25.2102275 1
14.3%
24.55512396 1
14.3%
24.54252354 1
14.3%
20.96735411 1
14.3%
20.16920525 1
14.3%
19.75509351 1
14.3%
17.24568566 1
14.3%

RFD_ITransient_BW.s-1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.266199
Minimum15.686561
Maximum39.782112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:33.621058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum15.686561
5-th percentile17.870032
Q125.721055
median29.763949
Q337.594333
95-th percentile39.259024
Maximum39.782112
Range24.095551
Interquartile range (IQR)11.873278

Descriptive statistics

Standard deviation8.8287306
Coefficient of variation (CV)0.29170265
Kurtosis-0.62774379
Mean30.266199
Median Absolute Deviation (MAD)7.3862327
Skewness-0.62279234
Sum211.8634
Variance77.946483
MonotonicityNot monotonic
2024-10-23T07:23:33.750447image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
15.6865607 1
14.3%
39.78211208 1
14.3%
38.03848394 1
14.3%
37.15018161 1
14.3%
29.76394886 1
14.3%
22.96479948 1
14.3%
28.47730966 1
14.3%
ValueCountFrequency (%)
15.6865607 1
14.3%
22.96479948 1
14.3%
28.47730966 1
14.3%
29.76394886 1
14.3%
37.15018161 1
14.3%
38.03848394 1
14.3%
39.78211208 1
14.3%
ValueCountFrequency (%)
39.78211208 1
14.3%
38.03848394 1
14.3%
37.15018161 1
14.3%
29.76394886 1
14.3%
28.47730966 1
14.3%
22.96479948 1
14.3%
15.6865607 1
14.3%

RFD_Brake_VMax_BW.s-1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.846503
Minimum7.2128416
Maximum18.506785
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:33.869628image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.2128416
5-th percentile8.7860815
Q112.624564
median13.388961
Q316.283901
95-th percentile18.399629
Maximum18.506785
Range11.293943
Interquartile range (IQR)3.6593366

Descriptive statistics

Standard deviation3.8257669
Coefficient of variation (CV)0.27629843
Kurtosis0.603913
Mean13.846503
Median Absolute Deviation (MAD)1.0292406
Skewness-0.47832404
Sum96.925518
Variance14.636492
MonotonicityNot monotonic
2024-10-23T07:23:33.997679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
12.45697467 1
14.3%
14.41820202 1
14.3%
12.79215375 1
14.3%
13.38896143 1
14.3%
7.212841552 1
14.3%
18.14959959 1
14.3%
18.50678455 1
14.3%
ValueCountFrequency (%)
7.212841552 1
14.3%
12.45697467 1
14.3%
12.79215375 1
14.3%
13.38896143 1
14.3%
14.41820202 1
14.3%
18.14959959 1
14.3%
18.50678455 1
14.3%
ValueCountFrequency (%)
18.50678455 1
14.3%
18.14959959 1
14.3%
14.41820202 1
14.3%
13.38896143 1
14.3%
12.79215375 1
14.3%
12.45697467 1
14.3%
7.212841552 1
14.3%

RFD_Propulsion_BW.s-1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-10.907047
Minimum-15.374303
Maximum-4.33998
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)100.0%
Memory size188.0 B
2024-10-23T07:23:34.117522image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-15.374303
5-th percentile-15.00428
Q1-14.12868
median-10.760008
Q3-8.8088404
95-th percentile-5.3537339
Maximum-4.33998
Range11.034323
Interquartile range (IQR)5.3198396

Descriptive statistics

Standard deviation3.979997
Coefficient of variation (CV)-0.36490141
Kurtosis-0.60548334
Mean-10.907047
Median Absolute Deviation (MAD)3.3564602
Skewness0.59444126
Sum-76.349332
Variance15.840376
MonotonicityNot monotonic
2024-10-23T07:23:34.245661image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-7.719159422 1
14.3%
-4.339980037 1
14.3%
-10.76000822 1
14.3%
-14.11646843 1
14.3%
-15.37430348 1
14.3%
-9.898521302 1
14.3%
-14.1408914 1
14.3%
ValueCountFrequency (%)
-15.37430348 1
14.3%
-14.1408914 1
14.3%
-14.11646843 1
14.3%
-10.76000822 1
14.3%
-9.898521302 1
14.3%
-7.719159422 1
14.3%
-4.339980037 1
14.3%
ValueCountFrequency (%)
-4.339980037 1
14.3%
-7.719159422 1
14.3%
-9.898521302 1
14.3%
-10.76000822 1
14.3%
-14.11646843 1
14.3%
-14.1408914 1
14.3%
-15.37430348 1
14.3%

Simple_stiffness_constant
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4831484
Minimum0.42353714
Maximum0.54014647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:34.360627image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.42353714
5-th percentile0.43150902
Q10.46203965
median0.49329819
Q30.50048883
95-th percentile0.53017136
Maximum0.54014647
Range0.11660933
Interquartile range (IQR)0.038449179

Descriptive statistics

Standard deviation0.038219927
Coefficient of variation (CV)0.079105979
Kurtosis0.0069980184
Mean0.4831484
Median Absolute Deviation (MAD)0.019328955
Skewness-0.19954282
Sum3.3820388
Variance0.0014607628
MonotonicityNot monotonic
2024-10-23T07:23:34.489266image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.4235371388 1
14.3%
0.4932981897 1
14.3%
0.5401464719 1
14.3%
0.4739692347 1
14.3%
0.4940815511 1
14.3%
0.4501100698 1
14.3%
0.5068961119 1
14.3%
ValueCountFrequency (%)
0.4235371388 1
14.3%
0.4501100698 1
14.3%
0.4739692347 1
14.3%
0.4932981897 1
14.3%
0.4940815511 1
14.3%
0.5068961119 1
14.3%
0.5401464719 1
14.3%
ValueCountFrequency (%)
0.5401464719 1
14.3%
0.5068961119 1
14.3%
0.4940815511 1
14.3%
0.4932981897 1
14.3%
0.4739692347 1
14.3%
0.4501100698 1
14.3%
0.4235371388 1
14.3%

High_stiffness
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.043492625
Minimum4.6466457 × 10-15
Maximum0.11289414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:34.607753image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.6466457 × 10-15
5-th percentile6.4083896 × 10-14
Q17.1386808 × 10-9
median0.033400362
Q30.07907693
95-th percentile0.10829373
Maximum0.11289414
Range0.11289414
Interquartile range (IQR)0.079076923

Descriptive statistics

Standard deviation0.047973847
Coefficient of variation (CV)1.1030341
Kurtosis-1.6490309
Mean0.043492625
Median Absolute Deviation (MAD)0.033400362
Skewness0.52724407
Sum0.30444838
Variance0.00230149
MonotonicityNot monotonic
2024-10-23T07:23:34.736746image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.06059441916 1
14.3%
0.1128941376 1
14.3%
0.09755944173 1
14.3%
0.03340036247 1
14.3%
4.646645743 × 10-151
14.3%
2.027708132 × 10-131
14.3%
1.427715889 × 10-81
14.3%
ValueCountFrequency (%)
4.646645743 × 10-151
14.3%
2.027708132 × 10-131
14.3%
1.427715889 × 10-81
14.3%
0.03340036247 1
14.3%
0.06059441916 1
14.3%
0.09755944173 1
14.3%
0.1128941376 1
14.3%
ValueCountFrequency (%)
0.1128941376 1
14.3%
0.09755944173 1
14.3%
0.06059441916 1
14.3%
0.03340036247 1
14.3%
1.427715889 × 10-81
14.3%
2.027708132 × 10-131
14.3%
4.646645743 × 10-151
14.3%

Low_stiffness
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7327
Minimum1.3931268
Maximum2.0397992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:34.851916image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.3931268
5-th percentile1.4613789
Q11.6646632
median1.7654671
Q31.8005901
95-th percentile1.9734074
Maximum2.0397992
Range0.6466724
Interquartile range (IQR)0.13592696

Descriptive statistics

Standard deviation0.19735244
Coefficient of variation (CV)0.1138988
Kurtosis1.4942312
Mean1.7327
Median Absolute Deviation (MAD)0.056774495
Skewness-0.32855632
Sum12.1289
Variance0.038947987
MonotonicityNot monotonic
2024-10-23T07:23:34.981612image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1.620633748 1
14.3%
1.393126841 1
14.3%
1.708692591 1
14.3%
1.765467086 1
14.3%
1.818492981 1
14.3%
1.782687287 1
14.3%
2.039799243 1
14.3%
ValueCountFrequency (%)
1.393126841 1
14.3%
1.620633748 1
14.3%
1.708692591 1
14.3%
1.765467086 1
14.3%
1.782687287 1
14.3%
1.818492981 1
14.3%
2.039799243 1
14.3%
ValueCountFrequency (%)
2.039799243 1
14.3%
1.818492981 1
14.3%
1.782687287 1
14.3%
1.765467086 1
14.3%
1.708692591 1
14.3%
1.620633748 1
14.3%
1.393126841 1
14.3%

Transition_time
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34755804
Minimum0.25267809
Maximum0.544257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:35.095000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.25267809
5-th percentile0.26608242
Q10.30344843
median0.31769384
Q30.35569024
95-th percentile0.48969111
Maximum0.544257
Range0.29157891
Interquartile range (IQR)0.052241807

Descriptive statistics

Standard deviation0.09378304
Coefficient of variation (CV)0.26983418
Kurtosis4.1755135
Mean0.34755804
Median Absolute Deviation (MAD)0.031315934
Skewness1.8532696
Sum2.4329063
Variance0.0087952586
MonotonicityNot monotonic
2024-10-23T07:23:35.224480image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.3623707025 1
14.3%
0.5442570026 1
14.3%
0.3176938446 1
14.3%
0.2973591819 1
14.3%
0.3490097788 1
14.3%
0.3095376855 1
14.3%
0.2526780933 1
14.3%
ValueCountFrequency (%)
0.2526780933 1
14.3%
0.2973591819 1
14.3%
0.3095376855 1
14.3%
0.3176938446 1
14.3%
0.3490097788 1
14.3%
0.3623707025 1
14.3%
0.5442570026 1
14.3%
ValueCountFrequency (%)
0.5442570026 1
14.3%
0.3623707025 1
14.3%
0.3490097788 1
14.3%
0.3176938446 1
14.3%
0.3095376855 1
14.3%
0.2973591819 1
14.3%
0.2526780933 1
14.3%

Average_loading_rate
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct7
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.031911
Minimum12.765165
Maximum32.433721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size188.0 B
2024-10-23T07:23:35.341939image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum12.765165
5-th percentile14.262174
Q120.813137
median25.508181
Q327.945016
95-th percentile31.425545
Maximum32.433721
Range19.668556
Interquartile range (IQR)7.1318789

Descriptive statistics

Standard deviation6.7367455
Coefficient of variation (CV)0.28032501
Kurtosis-0.10737604
Mean24.031911
Median Absolute Deviation (MAD)3.5649513
Skewness-0.71087184
Sum168.22337
Variance45.38374
MonotonicityNot monotonic
2024-10-23T07:23:35.474132image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
12.76516492 1
14.3%
32.43372137 1
14.3%
23.87107737 1
14.3%
29.0731326 1
14.3%
25.50818128 1
14.3%
17.75519686 1
14.3%
26.81689937 1
14.3%
ValueCountFrequency (%)
12.76516492 1
14.3%
17.75519686 1
14.3%
23.87107737 1
14.3%
25.50818128 1
14.3%
26.81689937 1
14.3%
29.0731326 1
14.3%
32.43372137 1
14.3%
ValueCountFrequency (%)
32.43372137 1
14.3%
29.0731326 1
14.3%
26.81689937 1
14.3%
25.50818128 1
14.3%
23.87107737 1
14.3%
17.75519686 1
14.3%
12.76516492 1
14.3%

Interactions

2024-10-23T07:23:20.492540image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:53.556799image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:56.116849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:58.718163image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:01.442914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:03.812741image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:06.601547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:09.464926image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:11.810059image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:14.254089image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:17.306007image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:19.678651image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:22.230823image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:25.570602image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:28.203299image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:30.854455image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:34.310417image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:36.888912image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:39.392229image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:42.045235image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:44.758472image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:48.612803image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:51.292011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:53.856648image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:56.598152image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:59.360384image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:02.033987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:06.199592image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:08.979129image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:11.824014image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:14.636200image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:17.525831image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:20.587684image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:53.641840image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:56.193141image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:58.795546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:01.515395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:03.888203image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:06.676089image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:09.539101image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:11.885301image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:14.330913image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:17.378400image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:19.755291image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:22.311819image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:25.651948image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:28.284523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:30.933836image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:34.408036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:36.965495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:39.473773image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:42.126913image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:44.841911image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:48.694487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:51.371487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:53.941164image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:56.683343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:59.441666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:02.116885image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:06.285808image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:09.067444image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:11.909846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:14.724346image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:17.616647image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:20.682524image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:53.716915image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:56.267321image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:58.872606image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:01.590036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:04.264009image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:06.750738image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:09.611822image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:11.960140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:14.408294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:17.451959image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:19.833861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:22.393019image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:25.732473image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:28.367339image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:31.012404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:34.489156image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:37.041842image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:39.555121image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:42.210126image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:44.925426image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:48.777616image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:51.451108image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:54.026937image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:56.768813image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:59.523835image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:02.202513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:06.369924image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:09.155364image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:11.996310image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:14.813201image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:17.707482image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:20.778933image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:53.793602image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:56.345747image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-10-23T07:21:58.410493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:01.128340image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:03.519322image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:06.290700image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:08.732539image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:11.515815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:13.945625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:16.990985image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:19.379683image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:21.904920image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:25.239043image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:27.870870image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:30.518587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:33.076792image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:36.566110image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:39.076546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:41.712051image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:44.415956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:48.272313image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:50.958740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:53.534511image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:56.254105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:59.010319image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:01.697488image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:05.856524image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:08.627407image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:11.467668image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:14.283574image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:17.160752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:20.110511image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:23.290921image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:55.886710image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:58.485162image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:01.204407image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:03.589967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:06.365426image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:08.807389image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:11.587233image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:14.019466image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:17.066598image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:19.450951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:21.983220image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:25.319552image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:27.950714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:30.600193image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:33.153361image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:36.644698image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:39.153282image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:41.792459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:44.498616image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:48.353882image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:51.038754image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:53.612797image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:56.337887image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:59.094178image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:01.778208image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:05.938666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:08.712333image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:11.553415image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:14.367949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:17.250735image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:20.201325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:23.388817image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:55.961590image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:58.560936image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:01.282471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:03.662672image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:06.442605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:08.883076image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:11.659601image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:14.096695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:17.144883image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:19.525095image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:22.063174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:25.401843image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:28.032508image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:30.682155image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:33.233407image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:36.724294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:39.231975image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:41.875969image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:44.583767image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:48.439022image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:51.122860image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:53.692872image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:56.423033image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:59.181913image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:01.862936image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:06.023972image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:08.798715image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:11.643116image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:14.456167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:17.339560image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:20.294136image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:23.484370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:56.037256image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:21:58.637502image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:01.360380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:03.735204image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:06.520278image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:09.365722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:11.733041image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:14.173018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:17.223231image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:19.600057image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:22.144439image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:25.483808image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:28.115465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:30.766048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:33.312451image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:36.804700image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:39.310199image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:41.958883image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:44.670006image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:48.523544image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:51.204922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:53.772154image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:56.509143image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:22:59.269483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:01.946195image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:06.110125image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:08.886447image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:11.731286image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:14.543803image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:17.430478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-10-23T07:23:20.386236image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2024-10-23T07:23:35.614510image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Average_loading_rateContact_Time_sCumSum_Times_sHigh_stiffnessImp_100ms_BW.sImp_40ms_BW.sImp_Brake_VMax_BW.sImp_ITransient_BW.sImp_Propulsion_BW.sIndex_ITransientIndex_MaxIndex_VIPLow_stiffnessNum_SamplesPeak_VIP_BWPeak_VITransient_BWPeak_VMax_BWRFD_100ms_BW.s-1RFD_40ms_BW.s-1RFD_Brake_VMax_BW.s-1RFD_ITransient_BW.s-1RFD_Propulsion_BW.s-1Simple_stiffness_constantTest_Duration_sTime_ITransient_sTime_Peak_VMax_sTime_VIP_sTotal_Imp_BW.sTransition_timeTrialVPeak_100ms_BWVPeak_40ms_BW
Average_loading_rate1.000-0.0710.1070.2500.321-0.1430.214-0.750-0.107-0.8210.090-0.821-0.036-0.0710.357-0.2140.107-0.286-0.1070.3210.750-0.1070.3570.107-0.8210.090-0.8210.000-0.0710.107-0.286-0.107
Contact_Time_s-0.0711.000-0.7860.464-0.607-0.679-0.214-0.2140.4640.0360.2160.036-0.7501.000-0.250-0.179-0.857-0.500-0.679-0.5360.2140.607-0.250-0.7860.0360.2160.0360.9291.000-0.786-0.500-0.679
CumSum_Times_s0.107-0.7861.000-0.7500.9290.8930.1070.214-0.3930.107-0.3060.1070.929-0.7860.3210.6070.4290.6790.8570.536-0.214-0.6790.3211.0000.107-0.3060.107-0.536-0.7861.0000.6790.857
High_stiffness0.2500.464-0.7501.000-0.750-0.786-0.286-0.4290.571-0.357-0.036-0.357-0.8570.4640.071-0.6430.036-0.607-0.8930.0360.5360.7140.071-0.750-0.357-0.036-0.3570.1790.464-0.750-0.607-0.893
Imp_100ms_BW.s0.321-0.6070.929-0.7501.0000.8210.2140.107-0.4640.000-0.1800.0000.893-0.6070.3210.6790.2140.6070.8570.429-0.107-0.7140.3210.9290.000-0.1800.000-0.321-0.6070.9290.6070.857
Imp_40ms_BW.s-0.143-0.6790.893-0.7860.8211.0000.3210.429-0.5710.286-0.0540.2860.964-0.6790.4640.7140.3210.9290.8930.214-0.321-0.8210.4640.8930.286-0.0540.286-0.500-0.6790.8930.9290.893
Imp_Brake_VMax_BW.s0.214-0.2140.107-0.2860.2140.3211.000-0.179-0.929-0.4290.883-0.4290.357-0.2140.464-0.1070.0360.3570.286-0.5710.250-0.7860.4640.107-0.4290.883-0.429-0.214-0.2140.1070.3570.286
Imp_ITransient_BW.s-0.750-0.2140.214-0.4290.1070.429-0.1791.000-0.0710.929-0.3060.9290.393-0.214-0.2860.6430.1430.5360.5360.000-0.929-0.143-0.2860.2140.929-0.3060.929-0.250-0.2140.2140.5360.536
Imp_Propulsion_BW.s-0.1070.464-0.3930.571-0.464-0.571-0.929-0.0711.0000.214-0.6850.214-0.6430.464-0.357-0.143-0.179-0.536-0.6070.3930.0360.929-0.357-0.3930.214-0.6850.2140.3930.464-0.393-0.536-0.607
Index_ITransient-0.8210.0360.107-0.3570.0000.286-0.4290.9290.2141.000-0.4321.0000.2140.036-0.3930.643-0.1070.3930.3570.000-0.8930.107-0.3930.1071.000-0.4321.0000.0360.0360.1070.3930.357
Index_Max0.0900.216-0.306-0.036-0.180-0.0540.883-0.306-0.685-0.4321.000-0.432-0.0540.2160.288-0.342-0.3060.054-0.108-0.8470.342-0.4500.288-0.306-0.4321.000-0.4320.1620.216-0.3060.054-0.108
Index_VIP-0.8210.0360.107-0.3570.0000.286-0.4290.9290.2141.000-0.4321.0000.2140.036-0.3930.643-0.1070.3930.3570.000-0.8930.107-0.3930.1071.000-0.4321.0000.0360.0360.1070.3930.357
Low_stiffness-0.036-0.7500.929-0.8570.8930.9640.3570.393-0.6430.214-0.0540.2141.000-0.7500.3210.6790.3570.8210.9640.250-0.357-0.8570.3210.9290.214-0.0540.214-0.536-0.7500.9290.8210.964
Num_Samples-0.0711.000-0.7860.464-0.607-0.679-0.214-0.2140.4640.0360.2160.036-0.7501.000-0.250-0.179-0.857-0.500-0.679-0.5360.2140.607-0.250-0.7860.0360.2160.0360.9291.000-0.786-0.500-0.679
Peak_VIP_BW0.357-0.2500.3210.0710.3210.4640.464-0.286-0.357-0.3930.288-0.3930.321-0.2501.0000.1070.2500.5710.1070.0710.571-0.5001.0000.321-0.3930.288-0.393-0.286-0.2500.3210.5710.107
Peak_VITransient_BW-0.214-0.1790.607-0.6430.6790.714-0.1070.643-0.1430.643-0.3420.6430.679-0.1790.1071.000-0.1070.7140.7500.214-0.536-0.3930.1070.6070.643-0.3420.6430.000-0.1790.6070.7140.750
Peak_VMax_BW0.107-0.8570.4290.0360.2140.3210.0360.143-0.179-0.107-0.306-0.1070.357-0.8570.250-0.1071.0000.2500.2860.607-0.071-0.2500.2500.429-0.107-0.306-0.107-0.964-0.8570.4290.2500.286
RFD_100ms_BW.s-1-0.286-0.5000.679-0.6070.6070.9290.3570.536-0.5360.3930.0540.3930.821-0.5000.5710.7140.2501.0000.7500.036-0.321-0.7500.5710.6790.3930.0540.393-0.429-0.5000.6791.0000.750
RFD_40ms_BW.s-1-0.107-0.6790.857-0.8930.8570.8930.2860.536-0.6070.357-0.1080.3570.964-0.6790.1070.7500.2860.7501.0000.214-0.536-0.7860.1070.8570.357-0.1080.357-0.464-0.6790.8570.7501.000
RFD_Brake_VMax_BW.s-10.321-0.5360.5360.0360.4290.214-0.5710.0000.3930.000-0.8470.0000.250-0.5360.0710.2140.6070.0360.2141.0000.0000.1430.0710.5360.000-0.8470.000-0.464-0.5360.5360.0360.214
RFD_ITransient_BW.s-10.7500.214-0.2140.536-0.107-0.3210.250-0.9290.036-0.8930.342-0.893-0.3570.2140.571-0.536-0.071-0.321-0.5360.0001.0000.0710.571-0.214-0.8930.342-0.8930.1790.214-0.214-0.321-0.536
RFD_Propulsion_BW.s-1-0.1070.607-0.6790.714-0.714-0.821-0.786-0.1430.9290.107-0.4500.107-0.8570.607-0.500-0.393-0.250-0.750-0.7860.1430.0711.000-0.500-0.6790.107-0.4500.1070.4640.607-0.679-0.750-0.786
Simple_stiffness_constant0.357-0.2500.3210.0710.3210.4640.464-0.286-0.357-0.3930.288-0.3930.321-0.2501.0000.1070.2500.5710.1070.0710.571-0.5001.0000.321-0.3930.288-0.393-0.286-0.2500.3210.5710.107
Test_Duration_s0.107-0.7861.000-0.7500.9290.8930.1070.214-0.3930.107-0.3060.1070.929-0.7860.3210.6070.4290.6790.8570.536-0.214-0.6790.3211.0000.107-0.3060.107-0.536-0.7861.0000.6790.857
Time_ITransient_s-0.8210.0360.107-0.3570.0000.286-0.4290.9290.2141.000-0.4321.0000.2140.036-0.3930.643-0.1070.3930.3570.000-0.8930.107-0.3930.1071.000-0.4321.0000.0360.0360.1070.3930.357
Time_Peak_VMax_s0.0900.216-0.306-0.036-0.180-0.0540.883-0.306-0.685-0.4321.000-0.432-0.0540.2160.288-0.342-0.3060.054-0.108-0.8470.342-0.4500.288-0.306-0.4321.000-0.4320.1620.216-0.3060.054-0.108
Time_VIP_s-0.8210.0360.107-0.3570.0000.286-0.4290.9290.2141.000-0.4321.0000.2140.036-0.3930.643-0.1070.3930.3570.000-0.8930.107-0.3930.1071.000-0.4321.0000.0360.0360.1070.3930.357
Total_Imp_BW.s0.0000.929-0.5360.179-0.321-0.500-0.214-0.2500.3930.0360.1620.036-0.5360.929-0.2860.000-0.964-0.429-0.464-0.4640.1790.464-0.286-0.5360.0360.1620.0361.0000.929-0.536-0.429-0.464
Transition_time-0.0711.000-0.7860.464-0.607-0.679-0.214-0.2140.4640.0360.2160.036-0.7501.000-0.250-0.179-0.857-0.500-0.679-0.5360.2140.607-0.250-0.7860.0360.2160.0360.9291.000-0.786-0.500-0.679
Trial0.107-0.7861.000-0.7500.9290.8930.1070.214-0.3930.107-0.3060.1070.929-0.7860.3210.6070.4290.6790.8570.536-0.214-0.6790.3211.0000.107-0.3060.107-0.536-0.7861.0000.6790.857
VPeak_100ms_BW-0.286-0.5000.679-0.6070.6070.9290.3570.536-0.5360.3930.0540.3930.821-0.5000.5710.7140.2501.0000.7500.036-0.321-0.7500.5710.6790.3930.0540.393-0.429-0.5000.6791.0000.750
VPeak_40ms_BW-0.107-0.6790.857-0.8930.8570.8930.2860.536-0.6070.357-0.1080.3570.964-0.6790.1070.7500.2860.7501.0000.214-0.536-0.7860.1070.8570.357-0.1080.357-0.464-0.6790.8570.7501.000

Missing values

2024-10-23T07:23:23.676554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-10-23T07:23:23.985090image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

TrialBW_kgSideFoot_RLDominance_RLQualityNum_SamplesIndex_40msIndex_100msIndex_ITransientIndex_VIPIndex_MaxTest_Duration_sCumSum_Times_sContact_Time_sTime_40ms_sTime_100ms_sTime_ITransient_sTime_VIP_sTime_Peak_VMax_sVPeak_40ms_BWVPeak_100ms_BWPeak_VITransient_BWPeak_VIP_BWPeak_VMax_BWTotal_Imp_BW.sImp_40ms_BW.sImp_100ms_BW.sImp_ITransient_BW.sImp_Brake_VMax_BW.sImp_Propulsion_BW.sRFD_40ms_BW.s-1RFD_100ms_BW.s-1RFD_ITransient_BW.s-1RFD_Brake_VMax_BW.s-1RFD_Propulsion_BW.s-1Simple_stiffness_constantHigh_stiffnessLow_stiffnessTransition_timeAverage_loading_rate
0166.998932RR5445401001361701700.4440.4440.4440.040.10.1350.1700.1700.7032942.0169211.8758992.1176862.1176860.5925200.0123430.0966970.1649400.2338010.35660117.58234720.16920515.68656112.456975-7.7191590.4235376.059442e-021.6206340.36237112.765165
1266.998932RR56164010063791431.7511.0590.6150.040.10.0620.0790.1430.6186231.7245691.8261332.4664912.0618030.7668100.0118190.1143800.0329760.1926800.57206915.46556917.24568639.78211214.418202-4.3399800.4932981.128941e-011.3931270.54425732.433721
2366.998932RR53874010072901772.8611.4450.3860.040.10.0710.0900.1770.6586942.4542521.7916152.7007322.2642110.5497190.0153650.1140290.0456650.2704900.27696516.46734324.54252438.03848412.792154-10.7600080.5401469.755944e-021.7086930.31769423.871077
3466.998932RR53444010062771773.9951.7880.3430.040.10.0610.0770.1770.7407051.9755091.6555332.2661612.3698460.5263150.0125300.1152480.0358920.2831650.24078018.51762219.75509437.15018213.388961-14.1164680.4739693.340036e-021.7654670.29735929.073133
4566.998932RR538940100841052655.3782.1760.3880.040.10.0830.1050.2651.6428412.4555122.3510152.4704081.9114030.6339790.0285330.1619480.1236010.4780240.15404441.07103724.55512429.7639497.212842-15.3743030.4940824.646646e-151.8184930.34901025.508181
5666.998932RR534940100991241246.5292.5240.3480.040.10.0980.1240.1241.2938472.0967352.0855622.2505502.2505500.5498730.0237250.1278530.1257730.1804970.36712632.34617020.96735422.96479918.149600-9.8985210.4501102.027708e-131.7826870.30953817.755197
6766.998932RR531140100901121357.6552.8340.3100.040.10.0890.1120.1352.2397492.5210232.4615392.5344812.4984160.5150490.0304860.1697250.1448220.2579310.25461955.99373025.21022728.47731018.506785-14.1408910.5068961.427716e-082.0397990.25267826.816899
TrialBW_kgSideFoot_RLDominance_RLQualityNum_SamplesIndex_40msIndex_100msIndex_ITransientIndex_VIPIndex_MaxTest_Duration_sCumSum_Times_sContact_Time_sTime_40ms_sTime_100ms_sTime_ITransient_sTime_VIP_sTime_Peak_VMax_sVPeak_40ms_BWVPeak_100ms_BWPeak_VITransient_BWPeak_VIP_BWPeak_VMax_BWTotal_Imp_BW.sImp_40ms_BW.sImp_100ms_BW.sImp_ITransient_BW.sImp_Brake_VMax_BW.sImp_Propulsion_BW.sRFD_40ms_BW.s-1RFD_100ms_BW.s-1RFD_ITransient_BW.s-1RFD_Brake_VMax_BW.s-1RFD_Propulsion_BW.s-1Simple_stiffness_constantHigh_stiffnessLow_stiffnessTransition_timeAverage_loading_rate
0166.998932RR5445401001361701700.4440.4440.4440.040.10.1350.1700.1700.7032942.0169211.8758992.1176862.1176860.5925200.0123430.0966970.1649400.2338010.35660117.58234720.16920515.68656112.456975-7.7191590.4235376.059442e-021.6206340.36237112.765165
1266.998932RR56164010063791431.7511.0590.6150.040.10.0620.0790.1430.6186231.7245691.8261332.4664912.0618030.7668100.0118190.1143800.0329760.1926800.57206915.46556917.24568639.78211214.418202-4.3399800.4932981.128941e-011.3931270.54425732.433721
2366.998932RR53874010072901772.8611.4450.3860.040.10.0710.0900.1770.6586942.4542521.7916152.7007322.2642110.5497190.0153650.1140290.0456650.2704900.27696516.46734324.54252438.03848412.792154-10.7600080.5401469.755944e-021.7086930.31769423.871077
3466.998932RR53444010062771773.9951.7880.3430.040.10.0610.0770.1770.7407051.9755091.6555332.2661612.3698460.5263150.0125300.1152480.0358920.2831650.24078018.51762219.75509437.15018213.388961-14.1164680.4739693.340036e-021.7654670.29735929.073133
4566.998932RR538940100841052655.3782.1760.3880.040.10.0830.1050.2651.6428412.4555122.3510152.4704081.9114030.6339790.0285330.1619480.1236010.4780240.15404441.07103724.55512429.7639497.212842-15.3743030.4940824.646646e-151.8184930.34901025.508181
5666.998932RR534940100991241246.5292.5240.3480.040.10.0980.1240.1241.2938472.0967352.0855622.2505502.2505500.5498730.0237250.1278530.1257730.1804970.36712632.34617020.96735422.96479918.149600-9.8985210.4501102.027708e-131.7826870.30953817.755197
6766.998932RR531140100901121357.6552.8340.3100.040.10.0890.1120.1352.2397492.5210232.4615392.5344812.4984160.5150490.0304860.1697250.1448220.2579310.25461955.99373025.21022728.47731018.506785-14.1408910.5068961.427716e-082.0397990.25267826.816899